SOTAVerified

Super-Resolution

Super-Resolution is a task in computer vision that involves increasing the resolution of an image or video by generating missing high-frequency details from low-resolution input. The goal is to produce an output image with a higher resolution than the input image, while preserving the original content and structure.

( Credit: MemNet )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3601–3625 of 3874 papers

TitleStatusHype
Fast and Light-Weight Network for Single Frame Structured Illumination Microscopy Super-Resolution—0
Efficient Video Super-Resolution for Real-time Rendering with Decoupled G-buffer Guidance—0
Temporal and Spatial Super Resolution with Latent Diffusion Model in Medical MRI images—0
Fast and selective super-resolution ultrasound in vivo with sono-switchable nanodroplets—0
WaveDiffUR: A diffusion SDE-based solver for ultra magnification super-resolution in remote sensing images—0
Efficient Two-Dimensional Line Spectrum Estimation Based on Decoupled Atomic Norm Minimization—0
Wavelet-Based Segmentation on the Sphere—0
EfficientTempNet: Temporal Super-Resolution of Radar Rainfall—0
Fast Image Deconvolution using Hyper-Laplacian Priors—0
Diffusion Models, Image Super-Resolution And Everything: A Survey—0
Fast Image Super-Resolution Based on In-Place Example Regression—0
Efficient Super Resolution Using Binarized Neural Network—0
Efficient Super Resolution For Large-Scale Images Using Attentional GAN—0
Fast Neural Architecture Search for Lightweight Dense Prediction Networks—0
Efficient Terrain Stochastic Differential Efficient Terrain Stochastic Differential Equations for Multipurpose Digital Elevation Model Restoration—0
Temporal Kernel Consistency for Blind Video Super-Resolution—0
Fast Online Video Super-Resolution with Deformable Attention Pyramid—0
Fast Randomized-MUSIC for mm-Wave Massive MIMO Radars—0
Advancing biological super-resolution microscopy through deep learning: a brief review—0
Fast Single Image Super-Resolution—0
Fast single image super-resolution based on sigmoid transformation—0
Fast Spatio-Temporal Residual Network for Video Super-Resolution—0
FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices with A Simple Super-Resolution Pipeline—0
Fast Sublinear Sparse Representation using Shallow Tree Matching Pursuit—0
FB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of Complex PDEs via Hypernetwork and Finite Basis Domain Decomposition—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified